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与社交机器人长期接触用于自闭症治疗。

A Long-Term Engagement with a Social Robot for Autism Therapy.

作者信息

Rakhymbayeva Nazerke, Amirova Aida, Sandygulova Anara

机构信息

Department of Robotics and Mechatronics, School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, Kazakhstan.

Graduate School of Education, Nazarbayev University, Nur-Sultan, Kazakhstan.

出版信息

Front Robot AI. 2021 Jun 16;8:669972. doi: 10.3389/frobt.2021.669972. eCollection 2021.

DOI:10.3389/frobt.2021.669972
PMID:34222353
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8241906/
Abstract

Social robots are increasingly being used as a mediator between a therapist and a child in autism therapy studies. In this context, most behavioural interventions are typically short-term in nature. This paper describes a long-term study that was conducted with 11 children diagnosed with either Autism Spectrum Disorder (ASD) or ASD in co-occurrence with Attention Deficit Hyperactivity Disorder (ADHD). It uses a quantitative analysis based on behavioural measures, including engagement, valence, and eye gaze duration. Each child interacted with a robot on several occasions in which each therapy session was customized to a child's reaction to robot behaviours. This paper presents a set of robot behaviours that were implemented with the goal to offer a variety of activities to be suitable for diverse forms of autism. Therefore, each child experienced an individualized robot-assisted therapy that was tailored according to the therapist's knowledge and judgement. The statistical analyses showed that the proposed therapy managed to sustain children's engagement. In addition, sessions containing familiar activities kept children more engaged compared to those sessions containing unfamiliar activities. The results of the interviews with parents and therapists are discussed in terms of therapy recommendations. The paper concludes with some reflections on the current study as well as suggestions for future studies.

摘要

在自闭症治疗研究中,社交机器人越来越多地被用作治疗师和儿童之间的调解工具。在这种情况下,大多数行为干预本质上通常是短期的。本文描述了一项针对11名被诊断患有自闭症谱系障碍(ASD)或同时患有注意力缺陷多动障碍(ADHD)的ASD儿童的长期研究。它采用基于行为测量的定量分析,包括参与度、效价和注视持续时间。每个孩子都多次与机器人互动,每次治疗课程都根据孩子对机器人行为的反应进行定制。本文提出了一组机器人行为,其目的是提供各种适合不同形式自闭症的活动。因此,每个孩子都经历了根据治疗师的知识和判断量身定制的个性化机器人辅助治疗。统计分析表明,所提出的治疗方法成功地维持了儿童的参与度。此外,与包含不熟悉活动的课程相比,包含熟悉活动的课程能让儿童保持更高的参与度。本文从治疗建议的角度讨论了对家长和治疗师的访谈结果。文章最后对当前研究进行了一些反思,并对未来研究提出了建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c666/8241906/cf93f0eb565f/frobt-08-669972-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c666/8241906/312adbea7910/frobt-08-669972-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c666/8241906/cf93f0eb565f/frobt-08-669972-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c666/8241906/312adbea7910/frobt-08-669972-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c666/8241906/cf93f0eb565f/frobt-08-669972-g002.jpg

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本文引用的文献

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3
Long-Term Personalization of an In-Home Socially Assistive Robot for Children With Autism Spectrum Disorders.为自闭症谱系障碍儿童定制家用社交辅助机器人的长期个性化方案。
Front Psychol. 2024 Jul 9;15:1355901. doi: 10.3389/fpsyg.2024.1355901. eCollection 2024.
4
People with Autism Spectrum Disorder Could Interact More Easily with a Robot than with a Human: Reasons and Limits.患有自闭症谱系障碍的人可能与机器人互动比与人类互动更容易:原因与局限。
Behav Sci (Basel). 2024 Feb 12;14(2):131. doi: 10.3390/bs14020131.
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Social robot for older adults with cognitive decline: a preliminary trial.针对认知能力下降的老年人的社交机器人:一项初步试验。
Front Robot AI. 2023 Nov 24;10:1213705. doi: 10.3389/frobt.2023.1213705. eCollection 2023.
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Front Robot AI. 2023 May 3;10:1088582. doi: 10.3389/frobt.2023.1088582. eCollection 2023.
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